45 lines
1.5 KiB
Python
45 lines
1.5 KiB
Python
# ===================================
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# 查看视频的帧率等属性
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# ===================================
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import cv2
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import os
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video_path = "asset/saved_video/output_result.mp4" # 替换成你上传的视频文件名
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if not os.path.exists(video_path):
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print(f"错误：找不到文件 {video_path}")
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exit()
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cap = cv2.VideoCapture(video_path)
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if not cap.isOpened():
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print("错误：无法打开视频文件！")
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exit()
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# 获取视频自带的物理帧率 (FPS)
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fps = cap.get(cv2.CAP_PROP_FPS)
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# 获取视频的总帧数
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total_frames = cap.get(cv2.CAP_PROP_FRAME_COUNT)
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# 获取视频的分辨率宽度和高度
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width = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
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height = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
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# 计算视频总时长（秒）
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duration = total_frames / fps if fps > 0 else 0
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print("==========================================")
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print(f"视频文件: {os.path.basename(video_path)}")
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print(f"视频分辨率: {width} x {height}")
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print(f"视频原生帧率 (FPS): {fps:.2f} 帧/秒 <--- [核心原因看这里]")
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print(f"视频总帧数: {int(total_frames)} 帧")
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print(f"视频总时长: {duration:.2f} 秒")
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print("==========================================")
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# if fps <= 25.5:
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# print("💡 结论：不出所料，你的视频本身就被录制/压制成了 25 帧！")
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# print("OpenCV 的 cap.read() 会卡在 25fps 的播放速度上等下一帧，导致 NPU 闲置。")
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# print("你想测试 NPU 的真实上限，需要用前面提到的『纯随机数矩阵压测脚本』。")
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cap.release() |